{"id":364,"date":"2026-06-07T17:27:45","date_gmt":"2026-06-07T14:27:45","guid":{"rendered":"https:\/\/neurotechnologijos.com\/services\/nt-adaptive-raspberry-pi\/"},"modified":"2026-06-17T05:33:59","modified_gmt":"2026-06-17T02:33:59","slug":"nt-adaptive-raspberry-p","status":"publish","type":"service","link":"https:\/\/neurotechnologijos.com\/pt-pt\/services\/nt-adaptive-raspberry-p\/","title":{"rendered":"NT Adaptive \u2122 Raspberry Pi"},"content":{"rendered":"<h3>NEUROMORPHIC MODULE FOR RASPBERRY PI<\/h3>\n<section class=\"news-content-section\">\n<div class=\"container news-content-grid\">\n<div class=\"news-content-image\">\n<p>O m\u00f3dulo NT Adaptive com 576 neur\u00f3nios concebido para demonstra\u00e7\u00e3o, forma\u00e7\u00e3o e desenvolvimento de capacidades de chips neurom\u00f3rficos. O m\u00f3dulo \u00e9 facilmente ligado ao Rasperry Pi e a outros computadores atrav\u00e9s de micro USB.<\/p>\n<h4>Exemplos em v\u00eddeo<\/h4>\n<h4 class=\"link-youtube\"><a href=\"https:\/\/www.youtube.com\/channel\/UCSzZjhhL-AkvKnRfq5Dt1Hw\/videos\">Assista aos v\u00eddeos da NeuroTechnologijos no YouTube &gt;&gt;&gt;<\/a><\/h4>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/-vcuw6BBTLE?si=Nmie31bVErVDfxPr\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>\u00c9 apresentada a oportunidade do neurom\u00f3rfico identificar as posi\u00e7\u00f5es dos disjuntores e LED que indicam o equipamento real.<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/ofTy-4CKhmw?si=v_AG9bAbzdGMy29b\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>O programa \u00e9 desenvolvido em Python e combina diversas op\u00e7\u00f5es para demonstrar as capacidades dos chips neurom\u00f3rficos. Reconhecimento de posi\u00e7\u00f5es de unidades de alimenta\u00e7\u00e3o autom\u00e1tica, indica\u00e7\u00e3o luminosa de l\u00e2mpadas de controlo, indica\u00e7\u00f5es de mostradores, valores de indicadores de sete segmentos e posi\u00e7\u00f5es de interruptores.<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Rzo8LsORMmg?si=cUJ_gdeKpKHygDfF\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>\u00c9 apresentado o programa de demonstra\u00e7\u00e3o escrito em Python. Este programa de demonstra\u00e7\u00e3o utiliza uma combina\u00e7\u00e3o da biblioteca aberta OpenCV e do chip CM1K (NM500) quando se trabalha com a placa de expans\u00e3o PCIe. A OpenCV foi utilizada para procurar rostos em fotografias, a forma\u00e7\u00e3o e o reconhecimento dos pr\u00f3prios rostos foram efetuados utilizando chips neurom\u00f3rficos.<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/ZByaW1v9zaU?si=0-XsnwZAxD4hpvWJ\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>Demonstra\u00e7\u00e3o do programa desenvolvida em Python. Demonstra\u00e7\u00e3o da sequ\u00eancia de sele\u00e7\u00e3o de imagens, sele\u00e7\u00e3o ROI, sele\u00e7\u00e3o e afina\u00e7\u00e3o de par\u00e2metros de um chip neurom\u00f3rfico, tais como MAXIF, categorias, forma\u00e7\u00e3o e verifica\u00e7\u00e3o dos resultados de aprendizagem. Este programa utiliza chips neurom\u00f3rficos numa placa PCIe.<\/p>\n<\/div>\n<div class=\"news-content-text\">\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-75\" src=\"https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-300x173.png\" alt=\"\" width=\"300\" height=\"173\" srcset=\"https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-300x173.png 300w, https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-1024x589.png 1024w, https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-768x442.png 768w, https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi.png 1200w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>M\u00f3dulo de intelig\u00eancia artificial do\u00a0<strong>NT Adaptive Raspberry PI<\/strong>\u00a0concebido para a identifica\u00e7\u00e3o de diversos sinais. O m\u00f3dulo pode reconhecer imagens est\u00e1ticas, sons, diversos sinais el\u00e9tricos, textos, dados. O processo de reconhecimento neurom\u00f3rfico ao n\u00edvel do hardware ir\u00e1 acelerar qualquer possibilidade de IA por computador. O m\u00f3dulo reconhece sinais em microssegundos com apenas mili-watts de pot\u00eancia.\u00a0<strong>Possibilidades:<\/strong><\/p>\n<ul>\n<li>Identifica\u00e7\u00e3o;<\/li>\n<li>Classifica\u00e7\u00e3o;<\/li>\n<li>Dete\u00e7\u00e3o de novidades;<\/li>\n<li>Dete\u00e7\u00e3o de anomalias;<\/li>\n<li>Segmenta\u00e7\u00e3o contextual de imagens;<\/li>\n<li>Dete\u00e7\u00e3o de extremidades;<\/li>\n<li>Remo\u00e7\u00e3o de ru\u00eddo;<\/li>\n<li>Compress\u00e3o de imagem;<\/li>\n<\/ul>\n<p>E outras.\u00a0<strong>\u00c1reas de implementa\u00e7\u00e3o:<\/strong><\/p>\n<ul>\n<li>Passatempo;<\/li>\n<li>Educa\u00e7\u00e3o;<\/li>\n<li>Estudos;<\/li>\n<li>Ind\u00fastria;<\/li>\n<li>Agricultura;<\/li>\n<li>Medicina;<\/li>\n<li>Seguran\u00e7a;<\/li>\n<li>Estat\u00edsticas;<\/li>\n<\/ul>\n<p>E outras.<\/p>\n<p>Dimens\u00f5es do m\u00f3dulo NT Adaptive Raspberry PI: 52x20x10 mm<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-76\" src=\"https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-ism2-300x203.png\" alt=\"\" width=\"300\" height=\"203\" srcset=\"https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-ism2-300x203.png 300w, https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-ism2.png 662w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>O m\u00f3dulo pode ser ligado atrav\u00e9s de Micro USB ou pinos TTL.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-77\" src=\"https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-zoom4-1024x1024-1-300x300.png\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-zoom4-1024x1024-1-300x300.png 300w, https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-zoom4-1024x1024-1-150x150.png 150w, https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-zoom4-1024x1024-1-768x768.png 768w, https:\/\/neurotechnologijos.com\/wp-content\/uploads\/2026\/06\/NT-Adaptive-raspberry-pi-zoom4-1024x1024-1.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<\/div>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>NEUROMORPHIC MODULE FOR RASPBERRY PI O m\u00f3dulo NT Adaptive com 576 neur\u00f3nios concebido para demonstra\u00e7\u00e3o, forma\u00e7\u00e3o e desenvolvimento de capacidades de chips neurom\u00f3rficos. O m\u00f3dulo \u00e9 facilmente ligado ao Rasperry Pi e a outros computadores atrav\u00e9s de micro USB. Exemplos em v\u00eddeo Assista aos v\u00eddeos da NeuroTechnologijos no YouTube &gt;&gt;&gt; \u00c9 apresentada a oportunidade do [&hellip;]<\/p>\n","protected":false},"featured_media":24,"menu_order":0,"template":"","service_category":[61],"class_list":["post-364","service","type-service","status-publish","has-post-thumbnail","hentry","service_category-nt-adaptive"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>O M\u00f3dulo de Expans\u00e3o<\/title>\n<meta name=\"description\" content=\"M\u00f3dulo de Expans\u00e3o pronto para ligar na Raspberry Pi para que possa aceder a 576 neur\u00f3nios para aprender, classificar e monitorizar dados. 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